Journal of Computer Science and Technology ›› 2020, Vol. 35 ›› Issue (1): 161-178.doi: 10.1007/s11390-020-9694-z

• Special Section on Applications • Previous Articles     Next Articles

SmartPipe: Towards Interoperability of Industrial Applications via Computational Reflection

Su Zhang1, Hua-Qian Cai1, Member, CCF, Yun Ma2, Member, CCF, ACM, IEEE, Tian-Yue Fan3, Ying Zhang4,*, Member, CCF, ACM, IEEE, Gang Huang1,*, Member, CCF, ACM, IEEE        

  1. 1 Key Laboratory of High-Confidence Software Technology(Peking University), Ministry of Education Beijing 100871, China;
    2 School of Software, Tsinghua University, Beijing 100084, China;
    3 Hengyi Petrochemicals CO., LTD., Hangzhou 311215, China;
    4 National Engineering Research Center for Software Engineering, Peking University, Beijing 100871, China
  • Received:2019-05-07 Revised:2019-09-15 Online:2020-01-05 Published:2020-01-14
  • Contact: Ying Zhang E-mail:zhang.ying,hg@pku.edu.cn
  • About author:Su Zhang is a Ph.D. candidate in Key Laboratory of High-Confidence Software Technology and School of Electronics Engineering and Computer Science, Peking University, Beijing. His current research interests include system software and software engineering.
  • Supported by:
    This work was supported by the National Key Research and Development Program of China under Grant No. 2018YFB1004800, the National Natural Science Foundation of China under Grant No. 61725201, Beijing Municipal Science and Technology Project under Grant No. Z171100005117002, and Tianjin Municipal People's Government Port Service Office (Project on Cross-Border E-Commerce Big Data Analysis and Display System).

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With the advancement of new information technologies, a revolution is being taken place to bring the industry into a new era of intelligent manufacturing. One of the key requirements of intelligent manufacturing is the interoperability of industrial applications. However, it is challenging to realize the interoperability for legacy industrial applications due to 1) the deficient semantic information of data transmitted over heterogeneous communication protocols, 2) the difficulty to understand the complex process of business logic with no source code, and 3) the high cost and potential risk of reengineering the applications. To address the issues, in this paper, we propose an approach named SmartPipe to exposing existing functionalities of an industrial application as APIs without source code while simultaneously allowing the application to remain unchanged. We design a behavioral runtime model (BRM) as the self-representation of the industrial applications, based on which a computational reflection framework is designed to flexibly construct the model and generate APIs that encapsulate specific functionalities. We validate SmartPipe on a real industrial application that controls the spin-draw winding machine. Results show that our approach is effective and more suitable for industrial scenes compared with traditional approaches.

Key words: computational reflection; runtime model; interoperability; industrial application; API generation;

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